Trained model generation device, control device, trained model generation method, and trained model generation program
AssigneeOMRON Corporation
InventorsMasato KOBAYASHI, Jun YAMADA, Masashi HAMAYA, Kazutoshi TANAKA
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Abstract
A trained-model generation device acquires training data including behavior data of a human for training. The trained-model generation device causes a generative adversarial network model including a generator and a discriminator to perform machine learning, based on the training data, to generate a trained generator that outputs behavior data of a control-target robot in response to input of behavior data representing behavior of the human as a target.
Claims10
A trained-model generation device comprising:
- a training-related acquisition unit configured to acquire training data including behavior data of a human for training;
- and
- a training unit configured to cause a generative adversarial network model including a generator and a discriminator to perform machine learning, based on the training data acquired by the training-related acquisition unit, the training unit being configured to generate a trained generator that outputs behavior data of a control-target robot in response to input of behavior data representing behavior of the human as a target.
A trained-model generation method to be performed by a computer, the trained-model generation method comprising:
- processing of acquiring training data including behavior data of a human for training;
- and
- processing of causing a generative adversarial network model including a generator and a discriminator to perform machine learning, based on the training data acquired by the acquiring, to generate a trained generator that outputs behavior data of a control-target robot in response to input of behavior data representing behavior of the human as a target.
A non-transitory storage medium storing a trained-model generation program that is executable by a computer to perform processing comprising:
- acquiring training data including behavior data of a human for training;
- and
- causing a generative adversarial network model including a generator and a discriminator to perform machine learning, based on the training data acquired by the acquiring, to generate a trained generator that outputs behavior data of a control-target robot in response to input of behavior data representing behavior of the human as a target.
Dependencies are inferred from the claim text.